Ivo Bek

Learn how to create a baseline RAG system using Apache Camel, PostgreSQL, and pgvector. This implementation demonstrates a 'boring' approach to RAG, making it easy to understand and debug. Discover the anatomy of a RAG pipeline, including indexing, retrieval, and answering.

See how to use Apache Camel to turn LLMs into reliable text-processing engines for generative parsing, semantic routing, and "air-gapped" database querying.

Dive into the Q4’25 edition of Camel integration quarterly digest, covering the

Discover the new features of Red Hat build of Apache Camel 4.14, including enhanced integration components, visual JSON data mapping, Camel dashboard, and more.

Dive into the Q3’25 edition of Camel integration quarterly digest, covering the

Dive into the Q2’25 edition of Camel integration quarterly digest, covering the

Red Hat build of Apache Camel 4.10 brings enhanced integration components, unified observability, expanded cloud and messaging support, and more.

Dive into the Q1’25 edition of Camel integration quarterly digest, covering the